Data Scientists
Also known as: Analytics Consultant, Applied Scientist, Data Analyst (+30 more)
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
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What You'll Do
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
- Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
- Design surveys, opinion polls, or other instruments to collect data.
- Identify business problems or management objectives that can be addressed through data analysis.
- Identify relationships and trends or any factors that could affect the results of research.
Career Fit Overview
Use this summary to understand the kind of profile this role rewards. It helps you judge whether this career looks like a stronger match than your current role, a nearby move worth exploring, or a broader path to compare more seriously.
Top passions
- Analyst: Investigating problems and finding patterns keeps you engaged.
- Organizer: Bringing order to data and processes satisfies you.
- Artist: Creating original work and expressing ideas feels natural.
Common styles
Intellectual Curiosity, Attention to Detail, Innovation, Dependability, Achievement Orientation
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Technologies & Tools
Work Environment & Strengths
Common Strengths for This Career
- Intellectual Curiosity (High importance: 5.0/5)
- Attention to Detail (High importance: 4.99/5)
- Innovation (High importance: 4.61/5)
- Dependability (High importance: 4.57/5)
- Achievement Orientation (High importance: 4.43/5)
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Most employers require a bachelor's degree in a relevant field. Some positions may also require experience through internships, co-ops, or entry-level work to strengthen your candidacy.
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Also Known As
This career is known by many different job titles across industries. Here are all the variations:
Career Fit FAQs
Is this career a good fit for me
This page shows the role itself. To see personal fit, use the assessment to compare your interests, motivations, and strengths against this career and against the role you are in now.
Can this help if I want to stay in my field
Yes. Many people use career pages like this to compare nearby roles in the same field and see whether they need a full switch or a better-fit version of the work they already know.
What should I compare first
Start with the daily tasks, the preparation level, and the work-style signals on this page. Then use the assessment to see whether this role looks like a stronger fit than your current role or just a different title.
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